Synopses & Reviews
An updated and expanded edition of a highly successful textbook.
This updated and expanded edition of Fundamentals of Queueing Theory presents the analytic modeling of queues in a very accessible style using up-to-date examples. Though the detailed coverage of the fundamentals of analytic modeling remains virtually the same, this new edition contains additional proofs (Erlang's loss formula), material (reversibility and mean-value analysis), and discussions (rootfinding involved in G/M/c). A fresh emphasis on the telecommunications boom enlivens the text, and a spreadsheet program for Excel and Quattro on the companion ftp site aids in understanding the sensitivity of waiting-line systems to parameter and environmental changes. In the treatment of the advanced material, the authors have commingled mathematical details with numerical results and intuitive arguments.
This comprehensive text/reference offers:
- New material, proofs, discussions, and processes
- Spreadsheet program for Excel and Quattro on the companion ftp site
- Illustrative examples and exercises to use with Excel and Quattro
- Boxed equations for easy reference
- Chapter problems
- An extensive solutions manual available upon request.
Synopsis
This look at queueing theory stresses the fundamentals of the analytic modeling of queues. It features Excel and Quattro software that allows greater flexibility in the understanding of the nature, sensitivities and responses of waiting- line systems to parameter and environmental changes.
"...this is one of the best books available for use as a textbook for a course and for an applied reference book. Its excellent organizational structure allows quick reference to specific models and its clear presentation coupled with the use of the QTS software solidifies the understanding of the concepts being presented. I highly recommend this book to educators and applied researchers."--IEE Transactions on Operations Engineering
About the Author
DONALD GROSS is Research Professor in the Department of Operations Research and Engineering at George Mason University in Fairfax, Virginia. CARL M. HARRIS is BDM Professor of Operations Research and Associate Dean of the School of Information Technology and Engineering at George Mason University. Both authors have written extensively in the area of numerical solutions to stochastic operations research problems.
Table of Contents
Simple Markovian Birth-Death Queueing Models.
Advanced Markovian Queueing Models.
Networks, Series, and Cyclic Queues.
Models with General Arrival or Service Patterns.
More General Models and Theoretical Topics.
Bounds, Approximations, Numerical Techniques, and Simulation.
References.
Appendices.
Index.